Want to jump to a specific question?
See, if Open Psychometrics recorded the respondents’ results, it would be quite quick to answer this question. Unfortunately, they didn’t, so we’re working with a bunch of numbers!
This is what the data looks like:
I’ve selected the first 6 columns of the data set… and it’s not too bad! It’s a little intimidating to think that there are over 1 million more rows, but we’ve gotta start somewhere >:)
We start by calculating the scores for the ‘Extroversion’ personality trait. We can do this by summing up the scores of the 10 EXT (standing for EXTroversion) questions. However, it should be noted that answering a ‘4’ or ‘5’ on a EXT question doesn’t always mean that a user is more extroverted. For example, answering 5 for “I don’t talk a lot” vs “I am the life of the party” would significantly affect your results.
So, we’ll need to make sure to add and subtract scores as necessary, depending on how the questions are keyed. I’ve arbitrarily made the decision to ‘positively key’ questions symbolising extroversion (meaning that I’d add points to their total score if they showed signs of extroversion), and ‘negatively key’ questions symbolising introversion (subtracting points from total score). See the table below to better understand this keying:
| Questions | Key |
|---|---|
| I am the life of the party. | \(+\) |
| I don’t talk a lot. | \(-\) |
| I feel comfortable around people. | \(+\) |
| I keep in the background. | \(-\) |
| I start conversations. | \(+\) |
| I have little to say. | \(-\) |
| I talk to a lot of different people at parties. | \(+\) |
| I don’t like to draw attention to myself. | \(-\) |
| I don’t mind being the center of attention. | \(+\) |
| I am quiet around strangers. | \(-\) |
Hence, after adding/subtracting their points from each question, any positive total score (> 0) will mean that the user receives an ‘S’ for Sociable, while a negative score (< 0) would result in an ‘R’ for reserved.1 If their score is 0, then they’d receive an ‘X’, as their results since they’re perfectly in-between S and R, and will remain inconclusive.
Below is a sample table of results, where extletter (their final letter result) and extscore (the sum of their points) are calculated from the raw data.
We can also visualize our results into a graph:
The same processes will be applied to the other personality traits, with their graphs located below:
Now, we can combine everybody’s letters from each personality traits to form their final result. Then we can determine which results are the most common within this data set.
In fact, we can see the 25 most common results below:
WOOO! Out of the 243 possible answers, congratulations to the __OAI family for dominating the top 4 spots!
If you’d prefer to see a more numerical representation, I’ve provided a table with the exact number of the top 10 results and the average score of each personality trait2:
| Results | Amount of Responses | Percentage of People |
|---|---|---|
| SCOAI | 159575 | 15.716379 |
| RLOAI | 121251 | 11.941888 |
| SLOAI | 100841 | 9.931727 |
| RCOAI | 92548 | 9.114958 |
| RLUAI | 70642 | 6.957459 |
| SLUAI | 56870 | 5.601068 |
| SCUAI | 41138 | 4.051640 |
| RCUAI | 26379 | 2.598041 |
| RLOEI | 23547 | 2.319120 |
| RCOEI | 22333 | 2.199554 |
| Extroversion | Neuroticism | Conscientiousness | Agreeableness | Openness | |
|---|---|---|---|---|---|
| avgscore | 1.413333 | 0.68 | 3.28 | 8.373333 | 7.76 |
Extrovertism
Extrovertism is the most balanced trait, as there seems to be a nice mix of S(ocial) and R(eserved) – representative of the larger population. I’d assume this is because questions in this trait were very straight-forward (e.g. “I start conversations”), and users likely display/are conscious of these behaviors in their everyday life. Hence, users will have a more ‘objective’ viewpoint, leading to more accurate results.
There are also about ~40k more introverts compared to extroverts. Maybe the S’s aren’t as likely to spend 20 minutes on an online test, compared to R’s?
Neuroticism
Once again, a solid distribution of results between C(alm) and L(imbic), mirroring what I’d expect the general population to be like. Similar to the extrovertism section, the questions tend to be straightforward and there’s relatively less self-bias within the trait, as I believe that many people are conscious of their experience with their emotions emotions, and whether or not they control them.
There are ~60000 more limbic people compared to calm. I’m not really surprised - people are more stressed3 and more sad4 than we’ve ever been. Furthermore, emotional regulation is a result of introspection and reflection. As our society slowly moves towards constant stimulation and excess, it’s no wonder we struggle to achieve emotional stability.
Conscientiousness, Agreeableness, and Openness
With these three personality traits, we start to see a much larger gap between the possible letters. There are significantly more people that are organized, agreeable, and inquisitive, relative to unstructured, egocentric, and non-inquisitive.
I definitely don’t think these results genuinely reflect the general population, despite the fact that I have no evidence stating so. If I had to speculate, I’d say that this data is just a quite biased, leading to skewed results.
No matter how hard we try, we can never be completely objective. Many struggle to see things beyond ourselves and to judge every action we take from a neutral standpoint.
In normal, everyday life, this is not too significant of an issue. A little bit of subjectivity never hurt anybody! However, when we’re trying to objectively analyze and record data about ourselves, our lack of objectivity can lead to delusional answers - espicially since this is an self-administrated quiz.
For these three categories, some traits are ‘better’ to have than others. In this society, it is almost ALWAYS better if you’re organized, agreeable, and inquisitive, rather than the opposite. In fact, it’s almost an insult if we AREN’T these things.5
For example, people tend to be more agreeable and people-pleasing, since it shows that you’re friendly and nice. Because you exhibit these behaviours people will tend to ‘like’ you more (relative to being confrontational and assertive for your own needs). Similar comparisons can be made for being conscientiousness, especially as our society moves towards maximizing productivity and ‘grind culture’. People NEED to be conscientious and self-disciplined, or else you won’t be successful. Or, in relation to inquisitivity, people don’t want to be seen as rigid and unwilling to try new things. Society will call them scaredy-cats, boring, or tell them that you’re ‘bringing the mood down’.
It doesn’t help that we don’t like being ‘bad people’ – we constantly attempt to justify our actions to be good and perceive ourselves in a positive light. We are rarely the villains in our own stories; it’s always the other person doing something wrong, or doing something worse than we did, or they started the ordeal.
However, when we can’t be objective, we can confuse what we actually do, with what we wish we did. This is going to lead us to choose answers corresponding to those ‘better’ traits of self-discipline, agreeableness and inquisitiveness, instead of objectively saying we have the ‘worse’ traits of unstructuredness, egocentrism and un-inquisitiveness.
There’s also the classic case of sampling bias. The people who take this quiz are probably curious about psychology, want to know more about themselves, and are willing to try something new. These are typically the types of people who are inquisitive (matching with the I letter) instead of non-inquisitive (matching with the N letter).
Sheer Statistical Impossibility…?
When analyzing this data, it seems.. strange that so many __OAI types are represented. In fact, it feels weird that 15%(!!!!) of people were the EXACT SAME TYPE, despite ALL POSSIBLE COMBINATIONS!
So, let’s see how it compares to the theoretical data. Using the data6 from SimilarMinds, we can see how our data stacks up.
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Looking at these tables, there’s a clear discrepancy between theoretical and experimental data, where only SCUAI matches the theoretical results. It’s clear that certain results are far more represented in our data set than the average value of the general population.
I believe that most of it can be explained by the previous analysis: Wrong results might occur because of biases and societal norms (cementing the last two letters to be A and I, and increasing the likelihood of an O vs an U), in addition to the natural disposition of respondents.
Honestly, I’m not too sure why 15% of people are SCOAI, maybe people are being influenced to answer what they WANT to be like, rather than what they actually are. My best guess is that SCOAI seems like one of the most ‘socially-successful’ results, since extroverted, stable, organized, agreeable, and inquisitive are all attributes that allow people to thrive in this society. They tend to have larger social circles, better interpersonal relationships and private lives, and the ability to study and work hard to get to positions they want academically and corporately.
So, my guess is that many respondents are not actually SCOAIs, and they’re not answering these questions objectively. That’s my best guess!7
Also, just to provide a comprehensive review of the results, here’s a list of the most uncommon ones!
| Results | Amount of Responses |
|---|---|
| XXUXN | 3 |
| SXXXN | 5 |
| XLXXN | 5 |
| XXUEX | 5 |
| SCXXX | 6 |
| XCXEX | 6 |
| XXOXN | 7 |
| SXOXX | 9 |
| XCUXX | 9 |
| XCXXN | 9 |
No surprise, it’s a lot of results with X’s!
At first, I was surprised that ‘XXXXX’ didn’t appear, since I’d assume it (theoretically) is the most unlikely.8 However, I wouldn’t be surprised if only 5% of XXXXX respondents were genuinely XXXXX, while the other 95% of people who got the result just kept clicking 3 (Neutral) for every question, or had some kind of game to see if they could get the (theoretically) super rare XXXXX.
This data contains 224 unique ISO country codes9. Let’s dig through this data - a fun bit of stalking!
We can see that the majority of data came from the US, with a whopping total of 546403 respondents. Trailing (very far) behind, we also have Great Britain (GB), Canada (CA), and Australia (AU).
This is likely because this quiz is in English, and will generally cater towards countries with English as their primary language. In addition, Google’s SEO (Search Engine Optimization) is also affected by location, and can rank websites by their proximity to the user.10 So, it’s possible that Open Psychometrics is American11, and when Americans search up “Big Five Personality Test”, this would be the first quiz that shows up.12
But, we’re not really concerned on WHERE people are taking the quiz. Instead, we only care about how it affects the responses. Hence, we’re going to start by finding the most common results for America, Great Britain, Australia, and the Philippians –these location shave the most amount of results while being from different continents– and seeing how they compare to one another.
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From the above table, it’s pretty clear that countries have very similar trends, with the top 7 result virtually the same between all countries. However, there are slight differences you can take out of it:
Let’s try zooming out by plotting the averages on a world map, and then analyzing results.
A note on the data: Locations with less than 10 responses have been omitted from the data, as they often significantly skewed maps. This removed 58 locations off the map, with Africa losing a pretty big chunk of their land.
(#fig:extscores world map)Diamond sadasds
Higher scores are correlated with extroversion, lower scores are correlated introversion.
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There doesn’t seem to be a clear trend in the world, but there seems to be several generalizations.
It’s quite interesting that the sterotype is that Americans are more extroverted and loud, while Asians are more introverted and quiet. Doesn’t seem to apply to this dataset!
Higher scores are correlated with being calm, lower scores are correlated being limbic.
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It seems like the south-eastern part of the world is less limbic, specifically Africa and East Asia. I find it funny that China specifically is seen to be relatively ‘calm’, as they are notorious for bad work-life balances13, the ‘lie down’ movement14 – conditions that would propagate negative moods and emotional instability.
Yet, it’s also reasonable to say that Chinese people are accustomed to high stress when dealing with academic pressures.15 Hence, they might have learned to regulate their emotions.
Higher scores are correlated with organization and contentiousness, lower scores are correlated carelessness.
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For conscientiousness, Africa is lit up like a Christmas tree! North America is also pretty light. On the other hand, South America is quite dark.
I find it interesting that Asia, which is known for their disciplined schedules and focus, seems to be quite average.
Higher scores are correlated with agreeableness, lower scores are correlated egocentrism.
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I had to double check twice to make sure I didn’t accidentally duplicate the conscientiousness graph, as they look almost identical.
I find it quite interesting that everybody thinks they’re agreeable. When looking at the scores on the ‘least agreeable’ table, not a single country is willing to admit they’re more egotistical! Alas, the bias goes deep.
(#fig:opn world map)Diamond Prices
Higher scores are correlated with inquisition, lower scores are correlated traditionalists.
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The Americas, Africa, and Europe seem to be a lot more open to new experiences, as they’re significantly brighter than the other continents. I can only think that risk-taking is just encouraged inside these societies or people are given more personal freedom and allowed more individuality. However, in other locations, they may prioritize stability and traditional methods – not necessarily a bad thing.
We can also analyze the questions themselves. A funky little thing that this quiz did, was record how many milliseconds each respondent spent on each question. That seems like a fun thing to look at!
Thus, I present to you: Amount of time spent on each question!
For your reference:
I really liked using a box plot16. to symbolize these results. For those who are unaware,The white box symbolizes the interquartile range, with the lower half of the box represents the bottom 25%, while the top half of the box represents the top 25% of users. The line in the center is the median time taken. Box plots are great for visualizing the spread of data (which seems to range quite a bit).
A note of the data: I’ve removed values above 20 seconds17 in the graph and only took a random sample of 50000 response times for each question18.
However, I want to be more precise with these loading times, so I’ve specifically pulled the questions that take the longest and shortest times to complete.
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I’ve taken the liberty of removing EXT_1 (the first question on the quiz), which had an average score of 87 seconds. I’d assume it’s skewed because people might’ve wanted to scroll around the webpage and get accustomed to it or maybe started then quiz then forgot about it.
“I feel little concern for others” seems to be the question that takes the longest. It’s likely because it’s incredibly situational - others is very vague. Does it mean if you care about everybody, including strangers or people you hate? Or should you just limit it to your friends, and people you may feel an obligation to care about? This ‘situational’ factor also plagues the other high-ranking questions, where there are SOMETIMES you agree with the actions, and other times you don’t. There’s a lot of nuance that people need to consider, hence, requiring a longer response time.
On the other hand, the questions that took the least amount of time are short and straightforward, and are obvious to judge yourself on. You either talk pretentiously to seem smart, or you don’t.19 You can also see that these questions are the ones that are asked later (i.e. A majority of the questions have an XXX9_E tag, meaning that it’s part of the 9th out of 10 rounds of questions, so they’d be the 40th - 45th question they’ve completed). Anticipation for results may have caused them to rush through the later questions. This is also shown in reverse for the questions that took more time - they tend to be questions that show up earlier in the quiz, rather than later.
Another interesting thing to note is the distribution of answers for each question. You may expected that each question has a distribution similar to standard distribution. However, that’s actually not the case! Many questions tend to have a distribution like so:
There are four major types of distribution seen in the data:
The columns progressively increase or decrease. I think these graphs are the most “trustworthy”, as you’d only put 1 or 5 (the extremes) if you were incredibly confident in your answer.20 Not only that, but these questions aren’t really ‘shameful’ to admit, like “I get stressed out easily” is seen to be a relatively normal thing to say, which allows people to be honest and pick extremes. Questions also tend to be less ‘situation’ and more ‘specific’, where you can very clearly visualize what you’d be doing in that situation, rather than responding “Oh… sometimes I am, sometimes I’m not!” (E.g. “I am quiet” likely wouldn’t follow this trend, but “I am quiet around strangers” does because the question narrow down the situation. You also don’t really change your behavior around different strangers - it’s pretty consistent.)
Some other examples include:
If you’re wondering which side they skew on…. just trust your gut on it :)
I feel like these are best associated with questions where self-bias is most prevalent, as you want to make yourself as something you’re not (to make yourself feel better). These questions are also very situational; Sometimes I do this, sometimes I do. That’s why people tend to move towards the middle. This is the most common distribution type.
Examples include:
I’m lying to you - This graph isn’t normal distribution. I’m just calling it normal distribution because the answer 3 (neutral) is the most common answer. Quite frankly, it just means that people are either confused or they don’t really have a large opinion on it, so they’re almost forced to choose 3. These questions seem to be the most ‘observable/objective’ of the bunch. Personally, I try to make a habit on avoiding clicking 3 no matter what (I’m not sure if others are the same), but it’s still interesting to see. I feel like these things are not things to be ‘proud’ of or dislike about yourself, nor would you mention it unless prompted, which is likely why it’s typically associated with the extrovertism questions.
Examples Include:
These are the ones that don’t follow any of the trends above. Well, what happens is that 1 and 5 are similar in height and have about 150k responses, while 3, 4, 5 are also similar in height, with about 250k responses. Basically, the columns are relatively the same. It’s the kinds of questions that go “Yea… I’m definitely not SUPER ___, but it happens from time to time… I’m not sure how I would compare with other people though… so 2, 3, or 4 sound about right.”
Examples Include:
Recall how introverted questions are negatively keyed and subtracted from your total.↩︎
The average values will actually shift every time I update the website (on RStudio!), as the function ‘slice_sample’ will grab the average of 100 randomly selected responses, resulting in a unique average every time!↩︎
https://www.wbur.org/hereandnow/2022/07/13/stress-survey-gallup↩︎
https://www.voanews.com/a/why-people-worldwide-are-unhappier-more-stressed-than-ever-/6658784.html↩︎
If someone told you, “Yea, you’re just a bit egocentric… no offense”, would you be happy about it?↩︎
This was the only site that had theoretical values, but I don’t know where they got their percentages from. It should also be noted that this site does not use ‘X’ as a possible result. E.g. XLUEI (or any combination with an ‘X’) is not considered. So, this means that there is no data for specific combinations. Hence, the theoretical values should be trusted with a grain of salt. It should also be noted that SimilarMinds separates the theoretical values by female and male. Since this data set does not have this distinction, I used the average of the male and female theoretical values to get my average number.↩︎
If you have more ideas, I’d love to hear them! Reach out :)↩︎
There’s actually 3794 people who got XXXXX in this data set.↩︎
‘Country codes’ are kinda misleading. There are ~195 countries, and ISO has 249 different codes. This is because the ISO contains subdivisions of countries, e.g. Caymen Islands (UK) and Christmas Island (Australia)↩︎
https://www.searchenginejournal.com/ranking-factors/physical-proximity-to-searcher↩︎
I couldn’t find any location data on the website itself↩︎
As a Canadian, it’s actually the third search result!↩︎
e.g. the 996 schedule of working from 9am to 9pm, 6 days a week↩︎
Youth in China are adopting the philosophy of ‘lying down’ and giving up, due to the bad job market after graduation. They often feel let down by their society, as they’ve always been taught that studying hard and getting into a good university will lead to a good life. Yet, when they graduate, they struggle to find jobs and keep themselves afloat.↩︎
E.g. To get into university, students take the Gaokao, a two-day standardized test that determines their entire future.↩︎
I actually forgot this type of graph existed, until I was randomly scrolling through the ggplot2 library of different graph types!↩︎
as they’re significant outliars, and make the data difficult to visualize↩︎
50000 is enough to show the general trend, and utilizing more only makes graphs take longer to load.↩︎
I’m refering to the difficult words question.↩︎
I.e. If you ask people to choose a number between 1 and 5, they tend to pick 2, 3, or 4, rather than 1 or 5.↩︎
This one is almost inverted, where 2 and 4 are the most common responses, followed by 1 and 5, then 3.↩︎